A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures

  • Authors:

  • Jianhua Chen;Yongbing Zhang;Luhong Liang;Siwei Ma;Ronggang Wang;Wen Gao

  • Affiliations:

  • Graduate University of Chinese Academy of Sciences, Beijing, P. R China 100039;Harbin Institute of Technology, Harbin, P.R. China 150001;Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, P.R. China 100190;Peking University, P.R China 100872;France Telecom R&D Beijing Co., Ltd,;Graduate University of Chinese Academy of Sciences, Beijing, P. R China 100039 and Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, P.R. China 100190 and Peking University, P.R China ...

  • Venue:
  • PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
  • Year:
  • 2008

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Abstract

This paper presents a novel no-reference blocking artifacts metric using selective gradient and plainness (BAM_SGP) measures for DCT-coded images. A boundary selection criterion is introduced to distinguish the blocking artifacts boundaries from the true-edge boundaries, which ensures that the most potential artifacts boundaries are involved in the measurement. Next, the artifacts are evaluated by the gradient and plainness measures indicating different aspects of blocking artifacts characteristics. Then these two measures are fused into a metric of blocking artifacts. Compared with some existing metrics, experiments on the LIVE database and our own test set show that the proposed metric can keep better consistent with Mean Opinion Score (MOS).